985 resultados para ração úmida


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Um experimento foi realizado com leitões desmamados visando avaliar os efeitos de oito tratamentos, correspondentes à combinação dos fatores, apresentações de ração (seca e úmida), tipos de ração (sem e com edulcorante) e tipos de água de consumo (sem e com edulcorante) sobre o desenvolvimento morfológico e enzimático intestinal. Foram avaliadas a altura das vilosidades (V), a profundidade das criptas (C) e a relação altura das vilosidades e profundidade das criptas (V:C) do duodeno e do jejuno, o conteúdo de proteína na mucosa do jejuno, e as atividades enzimáticas (UA) da maltase, sacarase e dipeptidase. Utilizaram-se 32 leitões machos castrados, Large White x Landrace, desmamados aos 21 dias, submetidos aos tratamentos durante oito dias. O delineamento experimental foi em blocos casualizados, com oito tratamentos, fatorial 2 x 2 x 2, com quatro repetições. Foram observadas diferenças para a altura das vilosidades do duodeno para os grupos tratados com dieta úmida e ração com edulcorante e para a relação V:C do duodeno para os animais que receberam ração com edulcorante. Houve diferença para a UA da sacarase e da maltase para os grupos que receberam água sem edulcorante. As características histológicas foram favorecidas pelas dietas úmidas, o que pode sugerir que esta apresentação foi menos agressiva ao trato digestivo. Para os demais fatores os resultados contrariaram as expectativas de que o tratamento água com edulcorante melhoraria a qualidade do epitélio intestinal. A fase crítica pela qual os leitões foram submetidos, possivelmente, comprometeu os resultados.

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Professor C. N. R. Rao will celebrate his 75th birthday in June 2009. As one of the world's foremost solid-state and materials chemists, he has had an enormous influence on generations of chemists throughout India and the world. Celebrations of Professor Rao's 75th birthday started already last June and will culminate on June 30, 2009. As part of these celebrations and to give tribute to Professor Rao's illustrious career and contributions to the chemistry community, this special issue in honor of this occasion includes 27 invited contributions from top scientists throughout the world, including a special

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Localization of underwater acoustic sources is a problem of great interest in the area of ocean acoustics. There exist several algorithms for source localization based on array signal processing.It is of interest to know the theoretical performance limits of these estimators. In this paper we develop expressions for the Cramer-Rao-Bound (CRB) on the variance of direction-of-arrival(DOA) and range-depth estimators of underwater acoustic sources in a shallow range-independent ocean for the case of generalized Gaussian noise. We then study the performance of some of the popular source localization techniques,through simulations, for DOA/range-depth estimation of underwater acoustic sources in shallow ocean by comparing the variance of the estimators with the corresponding CRBs.

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In this paper, we derive Hybrid, Bayesian and Marginalized Cramer-Rao lower bounds (HCRB, BCRB and MCRB) for the single and multiple measurement vector Sparse Bayesian Learning (SBL) problem of estimating compressible vectors and their prior distribution parameters. We assume the unknown vector to be drawn from a compressible Student-prior distribution. We derive CRBs that encompass the deterministic or random nature of the unknown parameters of the prior distribution and the regression noise variance. We extend the MCRB to the case where the compressible vector is distributed according to a general compressible prior distribution, of which the generalized Pareto distribution is a special case. We use the derived bounds to uncover the relationship between the compressibility and Mean Square Error (MSE) in the estimates. Further, we illustrate the tightness and utility of the bounds through simulations, by comparing them with the MSE performance of two popular SBL-based estimators. We find that the MCRB is generally the tightest among the bounds derived and that the MSE performance of the Expectation-Maximization (EM) algorithm coincides with the MCRB for the compressible vector. We also illustrate the dependence of the MSE performance of SBL based estimators on the compressibility of the vector for several values of the number of observations and at different signal powers.

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In celebrating Professor C. N. R. Rao's 80th birthday, this article recalls his singular contributions to solid state and materials chemistry for about sixty years. In so doing, the article also traces the growth of the field as a central domain of research in chemical sciences from its early origins in Europe. Although Rao's major work lies in solid state and materials chemistry - a field which he started and nurtured in India while its importance was being recognized internationally - his contributions to other areas of chemistry (and physics), viz., molecular spectroscopy, phase transitions, fullerenes, graphene, nanomaterials and multiferroics are equally significant. Illustrative examples of his work devoted to rare earth and transition metal oxides, defects and nonstoichiometry, metal-insulator transitions, investigation of crystal and electronic structures of a variety of solids by means of electron microscopies and photoelectron spectroscopy, superconducting cuprates, magnetoresistive manganites, multiferroic metal oxides of various structures and, last but not the least, development of new strategies for chemical synthesis of a wide variety of solids including nanomaterials and framework solids in different dimensionalities, are highlighted. The article also captures his exemplary role as a science teacher, science educationist and institution builder in post-Independence India.